mlsanityData to 13 Oct 2026

A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification

arXiv 2012.14500 ↗First posted 28 Dec 2020cs.CLcited by 29

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Abstract (arXiv)

Even for domain experts, it is a non-trivial task to verify a scientific claim by providing supporting or refuting evidence rationales. The situation worsens as misinformation is proliferated on social media or news websites, manually or programmatically, at every moment. As a result, an automatic fact-verification tool becomes crucial for combating the spread of misinformation. In this work, we propose a novel, paragraph-level, multi-task learning model for the SciFact task by directly computing a sequence of contextualized sentence embeddings from a BERT model and jointly training the model on rationale selection and stance prediction.

Key facts. Cited by 29 papers in the map (data through 13 Oct 2026). First posted on arXiv 28 Dec 2020.

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Citing papers per year: 2021: 6; 2022: 10; 2023: 1; 2024: 4; 2025: 6; 2026: 2.

29 papers.

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  1. 2021MultiVerS: Improving scientific claim verification with weak supervision and full-document contextcited by 140
  2. 2022SciFact-Open: Towards open-domain scientific claim verificationcited by 94
  3. 2022Generating Scientific Claims for Zero-Shot Scientific Fact Checkingcited by 59
  4. 2021Automated Fact-Checking: A Surveycited by 55
  5. 2023Scientific Fact-Checking: A Survey of Resources and Approachescited by 53
  6. 2022Synthetic Disinformation Attacks on Automated Fact Verification Systemscited by 44
  7. 2021Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verificationcited by 20
  8. 2021Overview and Insights from the SciVer Shared Task on Scientific Claim Verificationcited by 17
  9. 2022CORWA: A Citation-Oriented Related Work Annotation Datasetcited by 17
  10. 2021A Multi-Level Attention Model for Evidence-Based Fact Checkingcited by 13
  11. 2022Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selectioncited by 9
  12. 2026BibAgent: An Agentic Framework for Traceable Miscitation Detection in Scientific Literaturecited by 9
17 more
  1. 2022Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweetscited by 7
  2. 2021QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verificationcited by 6
  3. 2022Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issuescited by 6
  4. 2025The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Paperscited by 6
  5. 2022RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verificationcited by 5
  6. 2022Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Trainingcited by 5
  7. 2024MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verificationcited by 5
  8. 2024Minimal Evidence Group Identification for Claim Verificationcited by 5
  9. 2025CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checkingcited by 5
  10. 2024Detecting Reference Errors in Scientific Literature with Large Language Modelscited by 4
  11. 2024Robust Claim Verification Through Fact Detectioncited by 3
  12. 2025Enhancing Health Fact-Checking with LLM-Generated Synthetic Datacited by 3
  13. 2025SciClaims: An End-to-End Generative System for Biomedical Claim Analysiscited by 2
  14. 2025+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checkingcited by 2
  15. 2022Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classificationcited by 1
  16. 2025Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Modelscited by 0
  17. 2026Detection and Interpretability Analysis of Quotation Errors by Large Language Modelscited by 0